Jared D. Olson
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
Papers in ⓘ
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- Frailty in Older Adults 2
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- EEG and Brain-Computer Interfaces 8
- Neural dynamics and brain function 5
- Functional Brain Connectivity Studies 3
- Co-authors
- Jeffrey G. Ojemann (7 shared papers)Rajesh P. N. Rao (4 shared papers)Kai J. Miller (2 shared papers)Kurt E. Weaver (3 shared papers)Jeremiah Wander (2 shared papers)Lise Johnson (2 shared papers)Kelly L. Collins (2 shared papers)David O. Meltzer (2 shared papers)
- Journals
- Journal of the American Geriatrics Society (2 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Neurophysiology (1 paper)PM&R (1 paper)Frontiers in Human Neuroscience (1 paper)
- Partner nations
- United StatesSwedenRussia
In The Last Decade
Jared D. Olson
10 papers receiving 416 citations
Peers
Comparison fields: 5 of 56
- Cognitive Neuroscience 292
- Geriatrics and Gerontology 51
- Cellular and Molecular Neuroscience 180
- Human-Computer Interaction 39
- General Health Professions 54
Countries citing papers authored by Jared D. Olson
This map shows the geographic impact of Jared D. Olson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jared D. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared D. Olson more than expected).
Fields of papers citing papers by Jared D. Olson
This network shows the impact of papers produced by Jared D. Olson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jared D. Olson. The network helps show where Jared D. Olson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared D. Olson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 114 | |
| 2 | 2007 | 74 | |
| 3 | 2018 | 68 | |
| 4 | 2016 | 63 | |
| 5 | 2010 | 30 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 19 | |
| 8 | 2015 | 15 | |
| 9 | 2014 | 15 | |
| 10 | 2017 | 1 |
About Jared D. Olson
Jared D. Olson is a scholar working on Geriatrics and Gerontology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, General Health Professions and Psychiatry and Mental health, having authored 10 papers that have together received 429 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (5 papers), Neuroscience and Neural Engineering (4 papers), Functional Brain Connectivity Studies (3 papers), Frailty in Older Adults (2 papers), Muscle activation and electromyography studies (2 papers), Geriatric Care and Nursing Homes (2 papers) and Chronic Disease Management Strategies (1 paper). The work is most often cited by research in Cognitive Neuroscience (292 citations), Geriatrics and Gerontology (51 citations), Cellular and Molecular Neuroscience (180 citations), Human-Computer Interaction (39 citations) and General Health Professions (54 citations). Jared D. Olson has collaborated with scholars based in United States, Sweden and Russia. Frequent co-authors include Jeffrey G. Ojemann, Rajesh P. N. Rao, Kai J. Miller, Kurt E. Weaver, Jeremiah Wander, Lise Johnson, Kelly L. Collins, David O. Meltzer, Vineet M. Arora and Greg A. Sachs. Their work appears in journals such as Journal of the American Geriatrics Society, Proceedings of the National Academy of Sciences, Clinical Neurophysiology, PM&R and Frontiers in Human Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.